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Data-Intensive Science and Computing
October 29, 2016 @ 15:30 - 16:30 EDT
“Big Data” as a topic is widespread in scientific circles, the popular press, and business. Big Data is big business, as manifested in the success of Google, LinkedIn, Facebook, Amazon, Netflix, and a host of other social media and e-commerce sites. Big Data is also a concept that compels intuitive understanding, often based on the magnitude of data, but resists quantitative definition. Instead, Big Data is commonly described rather than defined, characterized by Volume, Velocity, Variety, Veracity, and Value. Big Data isn’t a new topic; it has been around for at least 20 years. What has changed is that it is now a practical reality in our day-to-day work in the Department of Defense, as we witness a transition from scientific-method based discovery to data-driven discovery. The talk will address the Army approach to Big Data, illustrate with examples the breadth of our requirements, and present research topics for future developments, such as tactical high-performance computing, software-defined networks, neuro-synaptic computing, machine and deep learning, and reduced-order modeling. Success requires a critical combination of people, skills, experience, and applications. The Army Research Laboratory is working to remove the physical barriers and to modify policies and procedures that preclude effective interaction between private- and public-sector researchers, allowing the creation of an integrated work environment among academia, industry and government to fuel innovation through on-site collaboration. A core capability in this new science and technology ecosystem is supercomputing—networks, hardware, software, and domain expertise.